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library(dplyr) | ||
library(car) | ||
library(MASS) | ||
library(readr) | ||
library(pscl) | ||
library(ggplot2) | ||
library(jtools) | ||
library(interplot) | ||
library(stargazer) | ||
library(Stack) | ||
source("helpers.r") | ||
library(texreg) | ||
library(xtable) | ||
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projects.active = read_csv("projects_active.csv") | ||
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projects.active$newcomers_delta = projects.active$newcomers - projects.active$new_newcomers | ||
projects.active$has_oldnew_contributors = projects.active$newcomers_delta > 0 | ||
projects.active$has_new_contributors = projects.active$newcomers > 0 | ||
projects.active$num_new_contributors = projects.active$newcomers | ||
projects.active$has_newnew_contributors = projects.active$new_newcomers > 0 | ||
projects.active$num_newnew_contributors = projects.active$new_newcomers | ||
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projects.active$has_contrib = projects.active$contrib_bytes > 100 | ||
projects.active$log_people_pr = log(projects.active$people_pr) | ||
projects.active$has_template = projects.active$issue_template | projects.active$pr_template | ||
projects.active$has_url = projects.active$url | ||
projects.active$external_commits = projects.active$year_commits - projects.active$core_commits | ||
projects.active$external_commit_ratio = projects.active$external_commits / projects.active$year_commits | ||
projects.active$had_external_committers = projects.active$external_commit_ratio > 0 | ||
summary(projects.active$num_labels) | ||
projects.active$has_labels = projects.active$num_labels >= 5 | ||
nrow(projects.active) | ||
summary(projects.active$pol_50) | ||
projects.active$is_impolite = projects.active$pol_50 < as.numeric(quantile(projects.active$pol_50, na.rm=TRUE)[2]) | ||
projects.active$is_polite = projects.active$pol_50 > as.numeric(quantile(projects.active$pol_50, na.rm=TRUE)[4]) | ||
summary(projects.active$resp_50) | ||
projects.active$is_fast = projects.active$resp_50 < as.numeric(quantile(projects.active$resp_50, na.rm=TRUE)[2]) | ||
projects.active$is_slow = projects.active$resp_50 > as.numeric(quantile(projects.active$resp_50, na.rm=TRUE)[4]) | ||
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projects.active$not_slow = projects.active$resp_50 < as.numeric(quantile(projects.active$resp_50, na.rm=TRUE)[4]) | ||
projects.active$resp_days = projects.active$resp_50 / 24.0 | ||
summary(projects.active$resp_days) | ||
projects.active$is_days_fast = projects.active$resp_days < as.numeric(quantile(projects.active$resp_days, na.rm=TRUE)[2]) | ||
projects.active$is_days_slow = projects.active$resp_days > as.numeric(quantile(projects.active$resp_days, na.rm=TRUE)[4]) | ||
projects.active$log_stars = log(projects.active$stars+1) | ||
projects.active$log_age = log(projects.active$age) | ||
projects.active$log_recent_commits = log(projects.active$recent_commits) | ||
projects.active$log_num_headers = log(projects.active$num_headers_3) | ||
projects.active$year_external_contributors = log(projects.active$year_contributors - projects.active$year_main_contributors + 1) | ||
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table(projects.active$readme_bytes == 0) | ||
table(projects.active$issues > 10000) | ||
table(projects.active$num_headers_3 == 0) | ||
table(projects.active$num_headers_3 > 100) | ||
table(projects.active$pol_50 == 0) | ||
table(is.na(projects.active$pol_50)) | ||
table(projects.active$num_labels > 500) | ||
table(projects.active$resp_50 < 1) | ||
table(projects.active$recent_commits > 4000) | ||
table(projects.active$lines_changed > 2000) | ||
table(is.na(projects.active$lines_changed)) | ||
table(projects.active$year_main_contributors == 0) | ||
table(projects.active$newcomers_delta < 0) | ||
summary(projects.active$year_external_contributors) | ||
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ds = subset(projects.active, | ||
num_headers_3 > 0 | ||
& readme_bytes > 0 | ||
& pol_50 > 0 | ||
& !is.na(pol_50) | ||
& resp_50 >= 1 | ||
& !is.na(resp_50) | ||
& !is.na(lines_changed) | ||
& year_main_contributors > 0 | ||
& recent_authors <= 90 | ||
& newcomers_delta >= 0) | ||
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nrow(projects.active) | ||
nrow(ds) | ||
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print_tex("tbl_data.tex", | ||
stargazer(ds, | ||
omit.summary.stat="n", | ||
median=TRUE, | ||
align=TRUE, | ||
digits=2, | ||
column.sep.width="0pt")) | ||
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table(ds$has_newnew_contributors) | ||
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m_new = glm(has_newnew_contributors ~ | ||
had_external_committers | ||
+ log_age | ||
+ log(issues + 1) | ||
+ has_url | ||
+ log_num_headers | ||
+ has_contact | ||
+ has_contrib | ||
+ has_badges | ||
+ has_labels | ||
+ has_template | ||
+ log_recent_commits | ||
+ is_fast | ||
+ log_stars | ||
+ is_impolite | ||
+ log_recent_commits * has_contrib | ||
+ log_recent_commits * has_badges | ||
+ log_recent_commits * has_url | ||
, family = "binomial" | ||
, data = ds) | ||
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summary(m_new) | ||
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vif(m_new) | ||
pR2(m_new) | ||
anova(m_new) | ||
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interplot(m_new, "has_badgesTRUE", "log_recent_commits") + | ||
xlab("Num recent commits (log)") + | ||
ylab("Estimated coefficient for\nHas badges") + | ||
# Change the background | ||
theme_bw() + | ||
# Add the title | ||
#ggtitle("Estimated Coefficient of Engine Cylinders \non Mileage by Automobile Weight") + | ||
# theme(plot.title = element_text(face="bold")) + | ||
# Add a horizontal line at y = 0 | ||
geom_hline(yintercept = 0, linetype = "dashed") | ||
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interplot(m_new, "has_urlTRUE", "log_recent_commits") | ||
interplot(m_new, "has_contribTRUE", "log_recent_commits") | ||
# interplot(m_new, "has_templateTRUE", "log_recent_commits") | ||
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m_all = glm(has_new_contributors ~ | ||
had_external_committers | ||
+ log_age | ||
+ log(issues + 1) | ||
+ has_url | ||
+ log_num_headers | ||
+ has_contact | ||
+ has_contrib | ||
+ has_badges | ||
+ has_labels | ||
+ has_template | ||
+ log_recent_commits | ||
+ is_fast | ||
+ log_stars | ||
+ is_impolite | ||
+ log_recent_commits * has_contrib | ||
+ log_recent_commits * has_badges | ||
+ log_recent_commits * has_url | ||
, family = "binomial" | ||
, data = ds) | ||
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interplot(m_all, "has_badgesTRUE", "log_recent_commits") | ||
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interplot(m_all, "has_urlTRUE", "log_recent_commits") + | ||
xlab("Num recent commits (log)") + | ||
ylab("Estimated coefficient for\nHas website") + | ||
# Change the background | ||
theme_bw() + | ||
# Add the title | ||
#ggtitle("Estimated Coefficient of Engine Cylinders \non Mileage by Automobile Weight") + | ||
# theme(plot.title = element_text(face="bold")) + | ||
# Add a horizontal line at y = 0 | ||
geom_hline(yintercept = 0, linetype = "dashed") | ||
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interplot(m_all, "has_contribTRUE", "log_recent_commits") + | ||
xlab("Num recent commits (log)") + | ||
ylab("Estimated coefficient for\nHas contrib") + | ||
# Change the background | ||
theme_bw() + | ||
# Add the title | ||
#ggtitle("Estimated Coefficient of Engine Cylinders \non Mileage by Automobile Weight") + | ||
# theme(plot.title = element_text(face="bold")) + | ||
# Add a horizontal line at y = 0 | ||
geom_hline(yintercept = 0, linetype = "dashed") | ||
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v = as.data.frame(vif(m_new)) | ||
v$new = as.data.frame(vif(m_all))[,1] | ||
names(v) = c("all", "new") | ||
names(v) | ||
v | ||
xtable(v) | ||
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mcor <- round(cor(ds[,c("had_external_committers", "log_age", "issues", | ||
"has_url", "log_num_headers", "has_contact", | ||
"has_contrib", "has_badges", "has_labels", | ||
"has_template", "log_recent_commits", "is_fast", | ||
"log_stars", "is_impolite")]), 2) | ||
upper <- mcor | ||
upper[upper.tri(mcor)] <- "" | ||
upper <- as.data.frame(upper) | ||
xtable(upper) | ||
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stargazer(m_all, m_new, title="Signals that help bring in new contributors", font.size="small", single.row=TRUE) | ||
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file="tex_model_all.csv" | ||
modelNames=c("has new contributors", "has first-time GitHub contributors") | ||
caption="Signals that help bring in new contributors" | ||
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mList = list(m1=m_all, m2=m_new) | ||
makeTexRegCox(mList, file, modelNames, caption, digits=2) | ||
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print_Anova_glm(m_all, "anova_model_1.csv") | ||
print_Anova_glm(m_new, "anova_model_2.csv") |